Robotic process automation (RPA) is an emerging effective tool for businesses eyeing to boost efficiency and to cut down on costs. With Evolution in Robotics Process Automation (RPA) One can use artificial intelligence-enabled technology to computerize repeatable, high-volume workflow tasks, thus freeing up your employees and allowing them to focus on more challenging work.

What is Robotics Process Automation (RPA)?

Robotic process automation (RPA) is a technology that simulates the way humans interact with software to perform high-volume, repeatable tasks. RPA technology makes software programs or bots that can log into applications, enter data, calculate, and complete tasks, and copy data between applications or workflow as required. When combined with Artificial Intelligence and machine learning, RPA can capture more context from the content.

Robotics Process Automation (RPA)


Evolution of Robotic Process Automation (RPA) can be elaborated in four distinct phases.

Assisted RPA

Assisted RPA or RPA 1.0 is where the RPA software programs various activities and applications running on the user’s desktop. This has proved to be effective in reducing down average handling times, improved customer experience and resulted in cost savings. The simplest example of this could be a simple cut and paste of information from one screen to the other.

Unassisted RPA

Unassisted RPA or RPA 2.0 is where the RPA software is utilized on several machines to run without the requirement for the automation to be done. The automation here does not require any employee to go to a particular machine, log on, activate the processes to begin, observe its performance and shut down the automation when it is finished. This opens up the great possibilities as the robots can work 24*7 and replace human interactions with business processes.

Autonomous RPA

This is the latest version of RPA. Autonomous RPA can be described as the best of two worlds where it is built leveraging Artificial Intelligence and related new technologies like cognitive automation, machine learning, computer vision and more to the RPA. This impressive convergence of various technologies generates capabilities that drastically elevates business values and gains a cutting advantage for users.

Cognitive RPA

Cognitive automation uses numerous distinct algorithms and technology approaches like natural language processing (NLP), data mining, semantic technology, text analytics, machine learning and more making the most of both structured and unstructured data.

With cognitive RPA, decision-making processes are all done by the robots such that all the long, complex tasks could be automated.

Evolution Drivers

Evolution driver #1: Automation.

A more complex form of automation is the utilization of macros, which are rules that describe a series of if-then processes. It gets its name from the process of turning an easy action into a larger automated series of steps to get to the end goal.

Automation is the A in RPA. As the ability to automate digital tasks has evolved from simple button clicks to more complex macros, RPA has also evolved into more complex tasks.

Evolution driver #2: Workflow management.

Workflow management is the P in RPA. At the most basic level, workflows reorganize everyday processes and activities. They are important in any business looking to build complex processes, from production and internal task management to following up with leads and customers.

Evolution driver #3: Artificial intelligence (AI).

This is the third component, the R in RPA. Artificial intelligence (AI) ensures that automated workflows are allowed to go beyond simple tasks by automating complex processes and improving those processes over time. Rather than having to focus computerization on rule-based processes that don’t allow for exceptions, AI’s self-improving components can cover and even build up rules specifically for those exceptions as they are discovered.

The fittest survived: The modern concept of RPA.

When we put it all together, we get to the modern concept of RPA: the automation of complex workflow processes, driven by self-improving robotic AI, which continues increasing competences and productivity over time. Driven by its three core factors, RPA has begun to play a fundamental role in industries ranging from real estate and loan planning all the way to retail and industrial logistics.

Future of RPA

With the add-on of RPA to boost speed and provide process automation support, the journey of machine learning and the development of furthermore intelligent technology will only be rapidly accelerated. The days of cognitive automation are on the perspective. Software robots are able to automate simple, repetitive processes, and through the blend of RPA with these intelligent platforms, they will soon be able to improve their own performance and make complex decisions with little intervention or programming. RPA has the capability to make companies more agile and responsive, which is crucial in today’s increasingly global and complex marketplaces.